Digital Heritage Systems: The ARCO Evaluation

Digital Heritage Systems: The ARCO Evaluation

Stella Sylaiou (Hellenic Open University, Greece), Martin White (University of Sussex, UK) and Fotis Liarokapis (Coventry University, UK)
DOI: 10.4018/978-1-4666-4046-7.ch014
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Abstract

This chapter describes the evaluation methods conducted for a digital heritage system, called ARCO (Augmented Representation of Cultural Objects), which examines the tools and methods used for its evaluation. The case study describes the knowledge acquired from several user requirement assessments, and further describes how to use this specific knowledge to provide a general framework for a holistic virtual museum evaluation. This approach will facilitate designers to determine the flaws of virtual museum environments, fill the gap between the technologies they use and those the users prefer and improve them in order to provide interactive and engaging virtual museums. The proposed model used not only quantitative, but also qualitative evaluation methods, and it is based on the extensive evaluations of the ARCO system by simple end-users, usability experts and domain experts. The main evaluation criteria were usability, presence, and learning.

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